Senior Business Intelligence Developer

As a Senior Business Intelligence Developer, you will be a key part of a growing team of internal and external developers that are expected to design and implement predictive, intelligent, scalable solutions. You will develop concepts & methods to make decentralized data available and enable data analytics for the entire organisation.

Job Duties and Responsibilities:

• Translating Business Needs: Youll work closely with stakeholders to understand business requirements and translate them into technical specifications for BI solutions.
• Designing and Building BI Solutions: You'll design, build, and deploy BI solutions, including reporting tools, dashboards, and visualisations.
• Maintaining Data Analytics Platforms: Youll be responsible for supporting and maintaining data analytics platforms (e.g., MicroStrategy, Power BI, Tableau).
• Crafting Queries and Data Retrieval: Youll execute queries upon request to retrieve relevant data for analysis.
• Creating Databases: BI Developers create and manage databases to efficiently store data.
• Data Analysis and Visualisation: You’ll develop visualisations, reports, and dashboards to present insights effectively.
• Collaborating with Teams: BI Developers work closely with business analysts, data scientists, data engineers, and other IT professionals.
• Troubleshooting and Improving BI Systems: Ensuring the accuracy and efficiency of data-driven solutions is essential.

Education Qualification/Preferred candidate profile

• Master's degree in Computer Science/IT, or related with 7+ years’ experience as BI developer with Power BI .
• Full life-cycle implementation experience: Requirements gathering, conception & design, development, implementation, deployment and driving user adoption.
• Strong Knowledge of BI Tools: Familiarity with BI tools such as Power BI, Tableau, Qlik, etc.
• Database Management Skills: Expertise in database management systems (DBMS) and a strong command of SQL.
• ETL Experience: Understanding of ETL (Extract, Transform, Load) processes and tools.
• Analytical Abilities: Excellent analytical and problem-solving skills. Automation Skills: Experience with automation tools and processes. Data Warehouse Knowledge: Understanding of data warehouse architecture.
• Data Formatting: Ability to format and structure data effectively. Scripting Languages: Familiarity with scripting languages (e.g., Python) is a plus.
• Strong organisational, communication and time/project management skills